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» Modelling Smooth Paths Using Gaussian Processes
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TIP
2008
135views more  TIP 2008»
13 years 10 months ago
Nonlinear Regularized Reaction-Diffusion Filters for Denoising of Images With Textures
Denoising is always a challenging problem in natural imaging and geophysical data processing. In this paper we consider the denoising of texture images using a nonlinear reaction-...
Gerlind Plonka, Jianwei Ma
ICIP
1995
IEEE
14 years 11 months ago
Multiresolution model development for overlapping trees via canonical correlation analysis
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...
Paul W. Fieguth, William W. Irving, Alan S. Willsk...
MATES
2005
Springer
14 years 3 months ago
Collaborative Agent-Based Knowledge Support for Empirical and Knowledge-Intense Processes
Independent from specific application domains, similar requirements can be identified regarding information needs during daily work. For coping with generality on the one hand an...
Andrea Freßmann, Kerstin Maximini, Rainer Ma...
ICCAD
2005
IEEE
114views Hardware» more  ICCAD 2005»
14 years 7 months ago
Statistical timing analysis with two-sided constraints
Based on a timing yield model, a statistical static timing analysis technique is proposed. This technique preserves existing methodology by selecting a “device file setting” ...
Khaled R. Heloue, Farid N. Najm
BIOADIT
2004
Springer
14 years 3 months ago
Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition
Conventional Difference of Gaussian (DOG) filter is usually used to model the early stage of visual processing. However, convolution operation used with DOG does not explicitly a...
Yingwei Yu, Takashi Yamauchi, Yoonsuck Choe